# Document Query

MCP Advisor is a server that provides access to the complete Model Context Protocol specification. It helps LLMs and humans understand the MCP specification through prompts and resources, including JSON schemas and detailed documentation.

This project implements a MongoDB service interface based on the MCP protocol, providing standardized operations such as collection management and document query, supporting database functions like filtering and projection, and including secure connection and logging mechanisms.

A Vercel AI SDK documentation query proxy service based on the MCP protocol, providing AI-driven document search and Q&A functions, and supporting integration with MCP clients such as Claude Desktop.

An MCP server that provides access to Marimo documentation, supporting API documentation queries and search functionality.

The OpenSearch MCP service is a model context protocol server for OpenSearch integration, providing functions such as index management, cluster management, and document search.

This project implements a Model Context Protocol (MCP) server for standardizing the connection between AI applications and data sources, supporting querying document content and providing three core capabilities: resources, tools, and prompts.

This project sets up an MCP server for querying World Mini Apps documentation and integrating it with Cursor to help developers develop MiniApps more efficiently.

An MCP service that provides local Markdown document query services for LLMs